Reimagining businesses with AI / Sudhi Sinha, Khaled Al Huraimel.

By: Sinha, Sudhi, 1975- [author.]
Contributor(s): Huraimel, Khaled Al, 1974- [author.]
Language: English Publisher: Hoboken : Wiley, 2020Edition: First EditionDescription: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119709169; 9781119709176Subject(s): Artificial intelligence -- Economic aspects | Information technology -- Management | Organizational learning | Organizational changeGenre/Form: Electronic books.DDC classification: 658/.0563 LOC classification: HC79.I55Online resources: Full text available at Wiley Online Library Click here to view
Contents:
Acknowledgments xi Chapter 1: Introduction 1 Evolution of AI 3 AI and Its Branches 9 A Bit about Algorithms 11 Critical Success Factors for AI Initiatives 12 Purpose and Structure of the Book 13 References 14 Chapter 2: Building a Framework for Applying AI 15 Introduction 15 Identifying the Future State 18 Building the Technology Strategy 23 Defining the Business Case 24 Creating the Solution Roadmap 27 Identifying AI Capabilities 28 Establishing a Governance Process 29 Summary 31 References 32 Chapter 3: Transforming Healthcare with AI 33 Introduction 33 Understanding the Macroscopic Factors Driving Smart Capabilities in the Future of the Healthcare Industry 35 The Critical Role of AI in the Healthcare of the Future 38 Personal Health Cloud 40 Smart Hospitals of the Future 42 AI Applications in Healthcare 46 Business Models of the Future in Healthcare 51 Summary 52 References 54 Chapter 4: Transforming Education with AI 55 Introduction 55 Improving Performance through a Learning Ecosystem 57 Understanding the Macroscopic Factors Driving Smart Techniques in the Future of the Education Industry 59 The Critical Role of AI in the Education of the Future 62 The Changing Landscape of Learning at Various Levels 70 Executive Education in AI 74 Summary 76 References 77 Chapter 5: Transforming Transportation with AI 79 Introduction 79 Understanding the Macroscopic Factors Influencing the Future of the Transportation Industry 81 How AI Will Change the Transportation Industry of the Future 83 Impact of Autonomous Driving Beyond Transportation 92 Summary 93 References 94 Chapter 6: Transforming Retail with AI 95 Introduction 95 Understanding How and Why the Retail Industry Has Been Changing 96 How AI Will Change the Retail Industry of the Future 99 Summary 110 References 111 Chapter 7: Transforming Financial Services with AI 113 Introduction 113 How AI Will Change the Financial Services Industry of the Future 114 Summary 122 References 124 Chapter 8: Transforming the Built Environment with AI 125 Introduction 125 Understanding Why the Built Environment Is Changing 127 Defining a Digital Building 132 How AI Will Change the Built Environment of the Future 135 The Future of Building Systems and Technologies with AI 144 Summary 148 Chapter 9: Transforming Smart Cities with AI 151 Introduction 151 Enablers for AI in Smart Cities 153 Applications of AI in Smart Cities 156 Best Practices for AI Initiatives in Smart Cities 162 References 166 Chapter 10: Transforming Government and Citizen Services with AI 167 Introduction 167 How AI Will Change the Government and Citizen Services of the Future 169 Creating a National AI Agenda 175 Summary 177 Chapter 11: Building the Right Technology Landscape 179 Introduction 179 The Data Platform for AI 180 Analytical Engine 185 Multi-agent Systems and AI 186 Adaptive User Experiences 188 Software-Defined General-Purpose Gateways 189 Technology Partner Ecosystem 190 Summary 190 Chapter 12: Dealing with Ethics, Privacy, and Security 193 Introduction 193 Ethics 194 Privacy 197 Cybersecurity 199 AI in Cyber-Defense 204 Summary 205 References 206 Chapter 13: Building the Partner Ecosystem for AI-Driven Transformation 207 Introduction 207 Building the Partner Strategy 208 Developing the Three-Dimensional Capability Model 214 Building a Partner Selection Framework 215 Managing Partner Engagements 218 Monitoring Partner Effectiveness 222 Summary 223 Chapter 14: Building Winning Teams for AI-Driven Transformation 225 Introduction 225 Identifying What Makes AI-Driven Digital Businesses Different 226 Building the Key Capabilities 227 Solving the Leadership Question: CDO/CIO/CTO? 234 Organizing Teams for Success 237 Motivating the Individuals and Managing the teams 240 Summary 242 References 243 Chapter 15: Managing Change for AI-Driven Transformation 245 Introduction 245 Understanding Changes Caused by AI 246 The Significance of Changes 248 Applying the IMMERSE Framework for Managing Change 249 Creating Stakeholder-Groups to Drive Change 255 Preventing Barriers to Change Management 256 Summary 257 References 258 About the Authors 259 Index 261
Summary: "Most organizations who see their survival and success in the future are making artificial intelligence (AI) a part of their core agenda, but their leaders also struggle with developing a roadmap for how to reimagine their world with AI. This book is intended to help both business and technology leaders navigate the complex world of AI with its myriad dimensions in several ways: Understand the opportunity landscape. Develop a framework for business transformation. Investigate the possibilities across multiple sectors like healthcare, education, citizen services, transportation, financial services, smart buildings, and cities, etc. Build a technology foundation and the enabling ecosystems. Address broader societal concerns around ethics, privacy, security Manage the change"-- Provided by publisher.
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Includes index.

ABOUT THE AUTHOR
SUDHI SINHA is a business and technology leader with over two decades of international experience. He currently advises several multinational and startup organizations on product, business, and technology strategy. He previously served as the GM and VP of Digital Solutions for Johnson Controls as well as leading many technology businesses for that organization.

KHALED AL HURAIMEL is the Group CEO of Bee'ah, the Middle East's sustainability pioneer. He is the architect of that organization's twin-pillared strategy that integrates digitalization into sustainability and the driving force behind its ventures that range from circular economy projects to renewable energy and sustainable transportation.

Acknowledgments xi

Chapter 1: Introduction 1

Evolution of AI 3

AI and Its Branches 9

A Bit about Algorithms 11

Critical Success Factors for AI Initiatives 12

Purpose and Structure of the Book 13

References 14

Chapter 2: Building a Framework for Applying AI 15

Introduction 15

Identifying the Future State 18

Building the Technology Strategy 23

Defining the Business Case 24

Creating the Solution Roadmap 27

Identifying AI Capabilities 28

Establishing a Governance Process 29

Summary 31

References 32

Chapter 3: Transforming Healthcare with AI 33

Introduction 33

Understanding the Macroscopic Factors Driving Smart Capabilities in the Future of the Healthcare Industry 35

The Critical Role of AI in the Healthcare of the Future 38

Personal Health Cloud 40

Smart Hospitals of the Future 42

AI Applications in Healthcare 46

Business Models of the Future in Healthcare 51

Summary 52

References 54

Chapter 4: Transforming Education with AI 55

Introduction 55

Improving Performance through a Learning Ecosystem 57

Understanding the Macroscopic Factors Driving Smart Techniques in the Future of the Education Industry 59

The Critical Role of AI in the Education of the Future 62

The Changing Landscape of Learning at Various Levels 70

Executive Education in AI 74

Summary 76

References 77

Chapter 5: Transforming Transportation with AI 79

Introduction 79

Understanding the Macroscopic Factors Influencing the Future of the Transportation Industry 81

How AI Will Change the Transportation Industry of the Future 83

Impact of Autonomous Driving Beyond Transportation 92

Summary 93

References 94

Chapter 6: Transforming Retail with AI 95

Introduction 95

Understanding How and Why the Retail Industry Has Been Changing 96

How AI Will Change the Retail Industry of the Future 99

Summary 110

References 111

Chapter 7: Transforming Financial Services with AI 113

Introduction 113

How AI Will Change the Financial Services Industry of the Future 114

Summary 122

References 124

Chapter 8: Transforming the Built Environment with AI 125

Introduction 125

Understanding Why the Built Environment Is Changing 127

Defining a Digital Building 132

How AI Will Change the Built Environment of the Future 135

The Future of Building Systems and Technologies with AI 144

Summary 148

Chapter 9: Transforming Smart Cities with AI 151

Introduction 151

Enablers for AI in Smart Cities 153

Applications of AI in Smart Cities 156

Best Practices for AI Initiatives in Smart Cities 162

References 166

Chapter 10: Transforming Government and Citizen Services with AI 167

Introduction 167

How AI Will Change the Government and Citizen Services of the Future 169

Creating a National AI Agenda 175

Summary 177

Chapter 11: Building the Right Technology Landscape 179

Introduction 179

The Data Platform for AI 180

Analytical Engine 185

Multi-agent Systems and AI 186

Adaptive User Experiences 188

Software-Defined General-Purpose Gateways 189

Technology Partner Ecosystem 190

Summary 190

Chapter 12: Dealing with Ethics, Privacy, and Security 193

Introduction 193

Ethics 194

Privacy 197

Cybersecurity 199

AI in Cyber-Defense 204

Summary 205

References 206

Chapter 13: Building the Partner Ecosystem for AI-Driven Transformation 207

Introduction 207

Building the Partner Strategy 208

Developing the Three-Dimensional Capability Model 214

Building a Partner Selection Framework 215

Managing Partner Engagements 218

Monitoring Partner Effectiveness 222

Summary 223

Chapter 14: Building Winning Teams for AI-Driven Transformation 225

Introduction 225

Identifying What Makes AI-Driven Digital Businesses Different 226

Building the Key Capabilities 227

Solving the Leadership Question: CDO/CIO/CTO? 234

Organizing Teams for Success 237

Motivating the Individuals and Managing the teams 240

Summary 242

References 243

Chapter 15: Managing Change for AI-Driven Transformation 245

Introduction 245

Understanding Changes Caused by AI 246

The Significance of Changes 248

Applying the IMMERSE Framework for Managing Change 249

Creating Stakeholder-Groups to Drive Change 255

Preventing Barriers to Change Management 256

Summary 257

References 258

About the Authors 259

Index 261

"Most organizations who see their survival and success in the future are making artificial intelligence (AI) a part of their core agenda, but their leaders also struggle with developing a roadmap for how to reimagine their world with AI. This book is intended to help both business and technology leaders navigate the complex world of AI with its myriad dimensions in several ways: Understand the opportunity landscape. Develop a framework for business transformation. Investigate the possibilities across multiple sectors like healthcare, education, citizen services, transportation, financial services, smart buildings, and cities, etc. Build a technology foundation and the enabling ecosystems. Address broader societal concerns around ethics, privacy, security Manage the change"-- Provided by publisher.

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